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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identity Resolution and Harmonization | 14% | - Matching rules (deterministic / probabilistic) - Identity graphs and data unification - Reconciliation and result analysis |
| Topic 2: Act on Data / Activation | 18% | - Activation types and use cases - Data actions and integration with Salesforce products - Troubleshooting activation issues and dependencies |
| Topic 3: Solution Positioning / Overview | 14% | - Data 360 / Data Cloud terminology and business value - Common use cases and data ethics principles - Role in AI and predictive capabilities |
| Topic 4: Segmentation and Insights | 18% | - Segment creation, configuration, and maintenance - Calculated vs streaming insights - AI-powered insights and analysis |
| Topic 5: Data Ingestion and Modeling | 20% | - Data mapping, validation, and quality best practices - Ingestion methods, connectors, and transformation - Customer 360 data model and schema design |
| Topic 6: Setup and Administration | 13% | - Monitoring, reporting, and tools (Data Explorer, APIs) - Data streams, data spaces, and governance - Permissions, settings, and security configuration |
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NEW QUESTION # 81
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?
Answer: B
Explanation:
Identity resolution is the process of creating unified profiles of individuals by matching and merging data from different sources. When there is conflicting information in the data model, such as different names, addresses, or phone numbers for the same person, identity resolution leverages reconciliation rules to select the most accurate and complete attributes for the unified profile. Reconciliation rules are configurable rules that define how to resolve conflicts based on criteria such as recency, frequency, source priority, or completeness. For example, a reconciliation rule can specify that the most recent name or the most frequent phone number should be selected for the unified profile. Reconciliation rules can be applied at the attribute level or the contact point level. References: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam Questions
NEW QUESTION # 82
Northern Trail Outfitters (NTO) wants to connect their B2C Commerce data with Data Cloud and bring two years of transactional history into Data Cloud.
What should NTO use to achieve this?
Answer: A
Explanation:
The B2C Commerce Starter Bundles are predefined data streams that ingest order and product data from B2C Commerce into Data Cloud. However, the starter bundles only bring in the last 90 days of data by default. To bring in two years of transactional history, NTO needs to use a custom extract from B2C Commerce that includes the historical data and configure the data stream to use the custom extract as the source. The other options are not sufficient to achieve this because:
A . B2C Commerce Starter Bundles only ingest the last 90 days of data by default.
B . Direct Sales Order entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion.
C . Direct Sales Product entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion. Reference: Create a B2C Commerce Data Bundle - Salesforce, B2C Commerce Connector - Salesforce, Salesforce B2C Commerce Pricing Plans & Costs
NEW QUESTION # 83
A retail customer wants to bring customer data from different sources
and wants to take advantage of identity resolution so that it can be
used in segmentation.
On which entity should this be segmented for activation membership?
Answer: B
Explanation:
The correct answer is B, Unified Individual. A Unified Individual is a record that represents a customer across different data sources, created by applying identity resolution rulesets. Identity resolution rulesets are sets of match and reconciliation rules that define how to link and merge data from different sources based on common attributes. Data Cloud uses identity resolution rulesets to resolve data across multiple data sources and helps you create one record for each customer, regardless of where the data came from1. A retail customer who wants to bring customer data from different sources and use identity resolution for segmentation should segment on the Unified Individual entity, which contains the resolved and consolidated customer data. The other options are incorrect because they do not represent the resolved customer data across different sources. A Subscriber is a record that represents a customer who has opted in to receive marketing communications. A Unified Contact is a record that represents a customer who has a relationship with a specific business unit. An Individual is a record that represents a customer's profile data from a single data source. Reference:
Identity Resolution Ruleset Processing Results
Consider Data Implications for Segmentation
Prepare for your Salesforce Data Cloud Consultant Credential
AI-based Identity Resolution: Linking Diverse Customer Data
NEW QUESTION # 84
The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?
Answer: C
Explanation:
Explanation
The Salesforce CRM Connector uses the Salesforce Integration User to access the data from the Salesforce CRM org. The Integration User must have the Read permission on the fields that are included in the data stream. If the Integration User does not have the Read permission on the newly created field, the field will not be available for selection in the data stream configuration. To resolve this issue, the administrator should assign the Read permission on the new field to the Integration User profile or permission set. References: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams
NEW QUESTION # 85
A global ecommerce brand tasks a Data 360 Consultant with resolving duplicate customer records originating from a web portal, a mobile app, and a physical point-of-sale system. The goal is to ensure that a customer is recognized as the same individual across all three sources to provide a consistent service experience. Which feature should the consultant configure to achieve this outcome?
Answer: A
Explanation:
The identity logic is about linking source profiles safely, then choosing the best surviving values for the unified profile. Matching rules within the Identity Resolution settings to link source records is appropriate because identity resolution needs reliable match inputs, qualified identifiers, and controlled reconciliation. It is not just deduplication; it is a rules-driven process that connects source records into a trusted unified profile.
The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably. This is the nuance exam questions often test: the platform capability must match both the technical layer and the business timing requirement, not just sound related to data.
NEW QUESTION # 86
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